Hiroaki Inokuchi

Application of Fuzzy Decision Tree to Analyze the Attitude of Citizens for Wellness City Development

The attitudes of citizens would be analyzed to design the future wellness city. The fuzzy decision tree is applied to describe the decision structure concerning with individual health as well as participation in the project. The questionnaire survey is taken to the citizens relating with the real wellness city project. The decision tree analysis such as ID3, fuzzy ID3 are introduced to describe the structure of decision of citizens. According to the results of fuzzy ID3 analysis, the difference between the attitudes of individual health and that of community health. Furthermore, linguistic decision rules are summarized to realize the future design of the wellness city.

Multi-agent simulator in transport sector for low carbon society

The carbon dioxide emission of transport section is an important issue to realize the low carbon society. In the study, the multi-agent simulation model is developed to evaluate the transport policy. The decision models of trip makers for modal choice and car ownership are formulated to estimate the impact of transport policy in the artificial society. In particular, the agent decision of electric vehicles (EV) ownership is assumed to be influenced by the surrounding ecological environment. These decision models are described by fuzzy logic. The reduction process of carbon dioxide (CO2) emission can be observed in time series diagrams as well as the distribution on individual wards. Finally, it is concluded that the low carbon society is realized by introducing the electric vehicles with particular regulations.

Development and verification of estimation model of environmental impact of automobile

In this study, a carbon dioxide emission is estimated corresponding to the running condition of the vehicle in the real field. The volume of carbon dioxide emission is measured during driving vehicles. Furthermore, the method of estimating the carbon dioxide emissions is proposed. In particular, it is validated the reliability of existing methods for measurement the CO2 emissions using the data obtained from the engine controller and the amount of gasoline consumption. In addition, the relationship between the running pattern and the carbon dioxide emission is analyzed.

Practical Management of Distance Based Toll System for Urban Expressway

According to the extension of Electronic Toll Collection System (ETC), the distance based toll system has been recently introduced to realize the effective traffic management for urban transport networks. However, the particular type of distance based toll should be specified from the empirical study. Even though the step function is applied in the real world, many types of function can be assumed between the distance and the price of toll. The optimization technique with intelligent information processing is proposed as well to specify the parameters in the particular distance based toll function. In the study, urban road network in Keihanshin area is analyzed as an empirical study. The traffic assignment technique is modified to estimate the traffic conditions on the network with describing the individual route charging as well as diversion traffic in case of distance based toll system. The impact of implementation of distance based toll onto the real scale transport network can be evaluated to discuss the social benefit of road users. The advanced technique with intelligent information processing can be proposed to determine the optimal combination of parameters in distance based toll function. In the study, the reduction of total travel time of road users is regarded as the index of the social benefit on urban network. Therefore, the estimation model of total travel time is created by neural network without the estimation process for large scale network. After the optimal combination of parameters is determined, practical road pricing policy on the urban network can be analyzed. Therefore, the toll system of urban expressway is investigated in terms of empirical study. Finally, the optimal function form of distance based toll is recommended in practical implementation.

Debris Treatment Planning for Large-Scale Earthquakes Using Fuzzy Information

Debris treatment is an important issue after large-scale disasters. Reasonable and efficient debris treatment is required to realize faster reconstruction. In particular, this study focusses on fuzziness in debris treatment planning. The fundamental formulation reduces the problem to a standard transport problem. A fuzzy debris transport problem is formulated using fuzzy constraints for supply and demand. A problem-solving algorithm is mentioned to show an irrelative approach by referring to a numerical example. Realistic debris transport planning can be realized using the proposed method.

Long term estimation of traffic demand on urban expressway by neural networks

The traffic demand estimation should be required to determine the expressway management in terms of construction cost redemption planning. Time series traffic demand of urban expressway as well as revenue of toll should be estimated by neural networks to determine the proper future tendency of traffic demand of the area. The proper redemption schedule can be discussed from the estimation results.

Development of multi-agent simulator for the district-based smart city

In the study, for future environmentally-friendly cities, the aim is to propose a transport system that is related to the formation of district based smart cities. That is, address urban space migration related to district-unit energy management in an integrative way. Here, in particular, a specific configuration of a smarter transport system is proposed for the central business district of the city along with estimating the change in the city traffic behavior. In connection with the urban activity of the business district, and with the assumption that there is a district based smart grid and BEMS (building energy management system), the effect of the introduction of electric vehicles (EV) brought on by business activities will be put in order.